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This is in calculus using optimization.
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Explanation & Answer
The distance between two points in the xy plane is:
D = [(x2-x1)^2 + (y2-y1)^2]^0.5
Let (x1,y1) be the point (3,0), then D is:
[(x2-3)^2 + (y2)^2]^0.5, or to save clutter:
D = [(x-3)^2 + y^2]^0.5
y = 8/x, so D = [(x-3)^2 + 64x^-2]^0.5
dD/dx = 0.5 [(x-3)^2 + 64x^-2]^-0.5 * [2(x-3) - 128x^-3]
D is at the minimum when dD/dx = 0, so solve for:
[2(x-3) - 128x^-3] = 0
x = 4, so y = 2.
The hyperbola is closest to (3, 0) at (4, 2) where the distance is the square root of 5.
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Capella University Stat Measurement for The Variable Questions
Please select the correct answer one for these multiple choice questions.
Question 1
...
Capella University Stat Measurement for The Variable Questions
Please select the correct answer one for these multiple choice questions.
Question 1
2 Points
What is the level of measurement for the variable: number of people in your statistics class?
ordinal
nominal
interval-ratio
none of the above
Question 2 2 Points What is the level of measurement for the variable: percentage of students who are first-generation college students at your school?
ordinal
nominal
interval-ratio
none of the above
Question 3 2 Points What is the level of measurement for the variable: name of each academic major offered in your college? ordinal nominal interval-ratio none of the above Question 4 2 Points What is the level of measurement for the variable: rating of the overall quality of a textbook, on a scale from excellent to poor?
ordinal
nominal
interval-ratio
none of the above
Question 5 2 Points What is the level of measurement for the variable: type of transportation a person takes to school (e.g., bus, walk, car)? ordinal nominal interval-ratio none of the above Question 6 2 Points What is the level of measurement for the variable: number of hours you study for a statistics exam?
ordinal
nominal
interval-ratio
none of the above
Question 7 2 Points What is the level of measurement for the variable: rating of the overall quality of your campus coffee shop, on a scale from excellent to poor? ordinal nominal interval-ratio none of the above Question 8 2 Points Is the interval-ratio for the number of people in your statistics class discrete or continuous? discrete continuous Question 9 2 Points Is the interval-ratio for percentage of students who are first-generation college students at your school discrete or continuous? discrete continuous Question 10 2 Points Is the interval-ratio for number of hours you study for a statistics exam discrete or continuous? discrete continuous
Need the following assigments to be answered please!
Social Choice Math is designed for anyone who has to make a decision in their life (that’s everyone). This course will i ...
Need the following assigments to be answered please!
Social Choice Math is designed for anyone who has to make a decision in their life (that’s everyone). This course will improve your ability to analyze situations and make thoughtful decisions using mathematically sound techniques. We want you to leave this class with the confidence in your own ability to make decisions.
SU Mathematics Probability & True and False Questions
1. Employees at a large computer company earn sick leave in one-minute increments depending on how many hours per month th ...
SU Mathematics Probability & True and False Questions
1. Employees at a large computer company earn sick leave in one-minute increments depending on how many hours per month they work. They can then use the sick leave time any time throughout the year. Any unused time goes into a sick bank account that they or other employees can use in the case of emergencies. The human resources department has determined that the amount of unused sick time for individual employees is uniformly distributed between 0 and 480 minutes. Based on this information, what is the probability that an employee will have less than 20 minutes of unused sick time?2. Employees at a large computer company earn sick leave in one-minute increments depending on how many hours per month they work. They can then use the sick leave time any time throughout the year. Any unused time goes into a sick bank account that they or other employees can use in the case of emergencies. The human resources department has determined that the amount of unused sick time for individual employees is uniformly distributed between 0 and 480 minutes. Based on this information, what is the probability that three randomly chosen employees have over 400 unused sick minutes at the end of the year?3. Employees at a large computer company earn sick leave in one-minute increments depending on how many hours per month they work. They can then use the sick leave time any time throughout the year. Any unused time goes into a sick bank account that they or other employees can use in the case of emergencies. The human resources department has determined that the amount of unused sick time for individual employees is uniformly distributed between 0 and 480 minutes. The company has decided to give a cash payment to any employee that returns over 400 minutes of sick leave at the end of the year. What percentage of employees could expect a cash payment?4. Employees at a large computer company earn sick leave in one-minute increments depending on how many hours per month they work. They can then use the sick leave time any time throughout the year. Any unused time goes into a sick bank account that they or other employees can use in the case of emergencies. The human resources department has determined that the amount of unused sick time for individual employees is uniformly distributed between 0 and 480 minutes. The company has decided to give a cash payment to any employee that returns over a specified amount of sick leave minutes. Assuming that the company wishes no more than 5 percent of all employees to get a cash payment, what should the required number of minutes be?5. Suppose the time it takes for a customer to be served at a fast-food chain business is thought to be uniformly distributed between 3 and 8 minutes, then the probability that a customer is served in less than 3 minutes is 0.6. If the time it takes for a customer to be served at a fast-food chain business is thought to be uniformly distributed between 3 and 8 minutes, then the probability that the time it takes for a randomly selected customer to be served will be less than 5 minutes is 0.40.7. If a uniform distribution and normal distribution both have the same mean and the same range, the normal distribution will have a larger standard deviation than the uniform distribution8. It has been determined the weight of bricks made by the Dillenger Stone Company is uniformly distributed between 1 and 1.5 pounds. Based on this information, the probability that two randomly selected bricks will each weigh more than 1.3 pounds is 0.16.9. The amount of drying time for the paint applied to a plastic component part is thought to be uniformly distributed between 30 and 60 minutes. Currently, the automated process selects the part from the drying bin after the part has been there for 50 minutes. Based on this, the probability that a part selected will not be dry is approximately 0.33.10. The amount of drying time for the paint applied to a plastic component part is thought to be uniformly distributed between 30 and 60 minutes. Currently, the automated process selects the part from the drying bin after the part has been there for 50 minutes. The probability that none of three parts picked are still wet when they are selected is approximately 0.04.
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Need statistics help with Week 5 BA215
Week 5 Assignments for BA 215 roi_by_major_2_.xlsxw5_assignment.docxw5_discussion.docxw5_project_assignment.docxroi_by_major_2_.xlsx
University of Nairobi ANOVA F Test For the Eye Color and CF Question
ContextCritical flicker frequency (CFF) and eye colorComputer screens and fluorescent bulbs flicker. If the frequency of t ...
University of Nairobi ANOVA F Test For the Eye Color and CF Question
ContextCritical flicker frequency (CFF) and eye colorComputer screens and fluorescent bulbs flicker. If the frequency of the flicker is below a certain threshold, the eye detects the flicker, and it is annoying!Different people have different flicker "threshold" frequencies (known as the critical flicker frequency, or CFF). The mean critical threshold frequency is important for product manufacturing as well as tests for ocular disease.In 1973, researchers conducted a study to answer the following question.Research question: Do people with different eye color have different threshold flicker sensitivity?The 1973 study ("The Effect of Iris Color on Critical Flicker Frequency," Journal of General Psychology [1973], 91–95) obtained the following data from a random sample of 19 subjects.ColorThresholdFrequency (CFF)BlueBrownGreen Brown 26.825.726.826.4 Brown 27.927.227.924.2 Brown 23.729.923.728 Brown 25.028.52526.9 Brown 26.329.426.329.1 Brown 24.828.324.8 Brown 25.725.7 Brown 24.524.5 Green 26.4 Green 24.2 Green 28.0 Green 26.9 Green 29.1 Blue 25.7 Blue 27.2 Blue 29.9 Blue 28.5 Blue 29.4 Blue 28.3In this spreadsheet the data is presented in two formats.Stacked data: The quantitative data is stacked in one column. The first two columns show the data in a stacked format. Each variable is a column (one column for the explanatory variable eye color; one column for the response variable CFF) and each row is an individual. For example, the first row is a brown-eyed person with a CFF of 26.8.Unstacked data: The quantitative data is distributed across the groups in multiple columns. The last three columns show the same data in an unstacked format. In this format, each column is a group defined by a value of the explanatory variable: one column for blue-eyed people, one column for brown-eyed people and one column for green-eyed people. Each column contains the response values (CFF) for that group.The format of the data in the spreadsheet affects how we use StatCrunch to analyze it.VariablesColor: This is the explanatory variable. The categorical data represents the groups we will compare.CFF (flicker threshold sensitivity): This is the response variable. The quantitative data represents the frequency threshold at which the subject sees the flicker.Datahttps://www.statcrunch.com/app/?dataid=3748367&tok... use this link for the data!!!!!PromptWe will conduct an ANOVA F-test for the variables Color and CFF. The flicker datafile is available in the Data section below. Also, the StatCrunch directions are provided in the list a the bottom of this page.What are the hypotheses for the ANOVA test? Be sure that you define clearly the parameters.Are the conditions that allow us to safely use the ANOVA F-test met? Explain.Note: To verify conditions, you will need to examine the distribution of CFF scores for each sample (because the samples are small).Use StatCrunch to create side-by-side dotplots, histograms or boxplots (your choice) to examine the distribution of CFF scores for each sample. You can use either data format; choose one (stacked data in the first two columns; or unstacked data in the the last three columns). To create the side-by-side graphs (for either data format) see the list of StatCrunch directions below. Download the StatCrunch output window (your graph), upload it to your Stats-Class folder, and then embed the .png file (your graph) in your initial post. To recall how to complete these tasks, see the list of StatCrunch directions below.You will also need to compare the sample standard deviations. Use StatCrunch to find the summary statistics, means and standard deviations for the comparison groups (select the the appropriate Descriptive Statistics StatCrunch directions from the list below). Then copy and paste the table into your initial post and explain how the rule of thumb for comparing standard deviations is met.Use StatCrunch to carry out the ANOVA F-test (select the appropriate ANOVA StatCrunch directions from the following two options). Anova F-test Stacked Data Format ORAnova F-test Unstacked Data FormatCopy and paste the output table into your initial post.State your conclusion in context of eye color and mean CFF.
Walden University Simulation for Performance Improvement Discussion
Discussion: Simulation for Performance Improvement
As you have examined this week, simulation as an analytic tool can assi ...
Walden University Simulation for Performance Improvement Discussion
Discussion: Simulation for Performance Improvement
As you have examined this week, simulation as an analytic tool can assist healthcare administration leaders execute important improvement initiatives. Simulations can be used to determine the impact of hospital outbreaks, shortages in staff, potential disaster events, or even financial challenges that might impact healthcare delivery for a health services organization. As a current or future healthcare administration leader, the ability to use simulation as an analytic technique will help you execute sound decision making to tackle healthcare administration challenges.
For this Discussion, review the resources for this week, and consider those issues that might most affect healthcare administration practice. Consider how those issues might be addressed through the process of using simulation as an analytic technique, and reflect on how you might apply the process of simulation to address these issues.
By Day 3
Post an explanation of how simulation might be used to improve performance in your health services organization or one with which you are familiar. Be specific, and provide examples.
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Capella University Stat Measurement for The Variable Questions
Please select the correct answer one for these multiple choice questions.
Question 1
...
Capella University Stat Measurement for The Variable Questions
Please select the correct answer one for these multiple choice questions.
Question 1
2 Points
What is the level of measurement for the variable: number of people in your statistics class?
ordinal
nominal
interval-ratio
none of the above
Question 2 2 Points What is the level of measurement for the variable: percentage of students who are first-generation college students at your school?
ordinal
nominal
interval-ratio
none of the above
Question 3 2 Points What is the level of measurement for the variable: name of each academic major offered in your college? ordinal nominal interval-ratio none of the above Question 4 2 Points What is the level of measurement for the variable: rating of the overall quality of a textbook, on a scale from excellent to poor?
ordinal
nominal
interval-ratio
none of the above
Question 5 2 Points What is the level of measurement for the variable: type of transportation a person takes to school (e.g., bus, walk, car)? ordinal nominal interval-ratio none of the above Question 6 2 Points What is the level of measurement for the variable: number of hours you study for a statistics exam?
ordinal
nominal
interval-ratio
none of the above
Question 7 2 Points What is the level of measurement for the variable: rating of the overall quality of your campus coffee shop, on a scale from excellent to poor? ordinal nominal interval-ratio none of the above Question 8 2 Points Is the interval-ratio for the number of people in your statistics class discrete or continuous? discrete continuous Question 9 2 Points Is the interval-ratio for percentage of students who are first-generation college students at your school discrete or continuous? discrete continuous Question 10 2 Points Is the interval-ratio for number of hours you study for a statistics exam discrete or continuous? discrete continuous
Need the following assigments to be answered please!
Social Choice Math is designed for anyone who has to make a decision in their life (that’s everyone). This course will i ...
Need the following assigments to be answered please!
Social Choice Math is designed for anyone who has to make a decision in their life (that’s everyone). This course will improve your ability to analyze situations and make thoughtful decisions using mathematically sound techniques. We want you to leave this class with the confidence in your own ability to make decisions.
SU Mathematics Probability & True and False Questions
1. Employees at a large computer company earn sick leave in one-minute increments depending on how many hours per month th ...
SU Mathematics Probability & True and False Questions
1. Employees at a large computer company earn sick leave in one-minute increments depending on how many hours per month they work. They can then use the sick leave time any time throughout the year. Any unused time goes into a sick bank account that they or other employees can use in the case of emergencies. The human resources department has determined that the amount of unused sick time for individual employees is uniformly distributed between 0 and 480 minutes. Based on this information, what is the probability that an employee will have less than 20 minutes of unused sick time?2. Employees at a large computer company earn sick leave in one-minute increments depending on how many hours per month they work. They can then use the sick leave time any time throughout the year. Any unused time goes into a sick bank account that they or other employees can use in the case of emergencies. The human resources department has determined that the amount of unused sick time for individual employees is uniformly distributed between 0 and 480 minutes. Based on this information, what is the probability that three randomly chosen employees have over 400 unused sick minutes at the end of the year?3. Employees at a large computer company earn sick leave in one-minute increments depending on how many hours per month they work. They can then use the sick leave time any time throughout the year. Any unused time goes into a sick bank account that they or other employees can use in the case of emergencies. The human resources department has determined that the amount of unused sick time for individual employees is uniformly distributed between 0 and 480 minutes. The company has decided to give a cash payment to any employee that returns over 400 minutes of sick leave at the end of the year. What percentage of employees could expect a cash payment?4. Employees at a large computer company earn sick leave in one-minute increments depending on how many hours per month they work. They can then use the sick leave time any time throughout the year. Any unused time goes into a sick bank account that they or other employees can use in the case of emergencies. The human resources department has determined that the amount of unused sick time for individual employees is uniformly distributed between 0 and 480 minutes. The company has decided to give a cash payment to any employee that returns over a specified amount of sick leave minutes. Assuming that the company wishes no more than 5 percent of all employees to get a cash payment, what should the required number of minutes be?5. Suppose the time it takes for a customer to be served at a fast-food chain business is thought to be uniformly distributed between 3 and 8 minutes, then the probability that a customer is served in less than 3 minutes is 0.6. If the time it takes for a customer to be served at a fast-food chain business is thought to be uniformly distributed between 3 and 8 minutes, then the probability that the time it takes for a randomly selected customer to be served will be less than 5 minutes is 0.40.7. If a uniform distribution and normal distribution both have the same mean and the same range, the normal distribution will have a larger standard deviation than the uniform distribution8. It has been determined the weight of bricks made by the Dillenger Stone Company is uniformly distributed between 1 and 1.5 pounds. Based on this information, the probability that two randomly selected bricks will each weigh more than 1.3 pounds is 0.16.9. The amount of drying time for the paint applied to a plastic component part is thought to be uniformly distributed between 30 and 60 minutes. Currently, the automated process selects the part from the drying bin after the part has been there for 50 minutes. Based on this, the probability that a part selected will not be dry is approximately 0.33.10. The amount of drying time for the paint applied to a plastic component part is thought to be uniformly distributed between 30 and 60 minutes. Currently, the automated process selects the part from the drying bin after the part has been there for 50 minutes. The probability that none of three parts picked are still wet when they are selected is approximately 0.04.
Need statistics help with Week 5 BA215
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Need statistics help with Week 5 BA215
Week 5 Assignments for BA 215 roi_by_major_2_.xlsxw5_assignment.docxw5_discussion.docxw5_project_assignment.docxroi_by_major_2_.xlsx
University of Nairobi ANOVA F Test For the Eye Color and CF Question
ContextCritical flicker frequency (CFF) and eye colorComputer screens and fluorescent bulbs flicker. If the frequency of t ...
University of Nairobi ANOVA F Test For the Eye Color and CF Question
ContextCritical flicker frequency (CFF) and eye colorComputer screens and fluorescent bulbs flicker. If the frequency of the flicker is below a certain threshold, the eye detects the flicker, and it is annoying!Different people have different flicker "threshold" frequencies (known as the critical flicker frequency, or CFF). The mean critical threshold frequency is important for product manufacturing as well as tests for ocular disease.In 1973, researchers conducted a study to answer the following question.Research question: Do people with different eye color have different threshold flicker sensitivity?The 1973 study ("The Effect of Iris Color on Critical Flicker Frequency," Journal of General Psychology [1973], 91–95) obtained the following data from a random sample of 19 subjects.ColorThresholdFrequency (CFF)BlueBrownGreen Brown 26.825.726.826.4 Brown 27.927.227.924.2 Brown 23.729.923.728 Brown 25.028.52526.9 Brown 26.329.426.329.1 Brown 24.828.324.8 Brown 25.725.7 Brown 24.524.5 Green 26.4 Green 24.2 Green 28.0 Green 26.9 Green 29.1 Blue 25.7 Blue 27.2 Blue 29.9 Blue 28.5 Blue 29.4 Blue 28.3In this spreadsheet the data is presented in two formats.Stacked data: The quantitative data is stacked in one column. The first two columns show the data in a stacked format. Each variable is a column (one column for the explanatory variable eye color; one column for the response variable CFF) and each row is an individual. For example, the first row is a brown-eyed person with a CFF of 26.8.Unstacked data: The quantitative data is distributed across the groups in multiple columns. The last three columns show the same data in an unstacked format. In this format, each column is a group defined by a value of the explanatory variable: one column for blue-eyed people, one column for brown-eyed people and one column for green-eyed people. Each column contains the response values (CFF) for that group.The format of the data in the spreadsheet affects how we use StatCrunch to analyze it.VariablesColor: This is the explanatory variable. The categorical data represents the groups we will compare.CFF (flicker threshold sensitivity): This is the response variable. The quantitative data represents the frequency threshold at which the subject sees the flicker.Datahttps://www.statcrunch.com/app/?dataid=3748367&tok... use this link for the data!!!!!PromptWe will conduct an ANOVA F-test for the variables Color and CFF. The flicker datafile is available in the Data section below. Also, the StatCrunch directions are provided in the list a the bottom of this page.What are the hypotheses for the ANOVA test? Be sure that you define clearly the parameters.Are the conditions that allow us to safely use the ANOVA F-test met? Explain.Note: To verify conditions, you will need to examine the distribution of CFF scores for each sample (because the samples are small).Use StatCrunch to create side-by-side dotplots, histograms or boxplots (your choice) to examine the distribution of CFF scores for each sample. You can use either data format; choose one (stacked data in the first two columns; or unstacked data in the the last three columns). To create the side-by-side graphs (for either data format) see the list of StatCrunch directions below. Download the StatCrunch output window (your graph), upload it to your Stats-Class folder, and then embed the .png file (your graph) in your initial post. To recall how to complete these tasks, see the list of StatCrunch directions below.You will also need to compare the sample standard deviations. Use StatCrunch to find the summary statistics, means and standard deviations for the comparison groups (select the the appropriate Descriptive Statistics StatCrunch directions from the list below). Then copy and paste the table into your initial post and explain how the rule of thumb for comparing standard deviations is met.Use StatCrunch to carry out the ANOVA F-test (select the appropriate ANOVA StatCrunch directions from the following two options). Anova F-test Stacked Data Format ORAnova F-test Unstacked Data FormatCopy and paste the output table into your initial post.State your conclusion in context of eye color and mean CFF.
Walden University Simulation for Performance Improvement Discussion
Discussion: Simulation for Performance Improvement
As you have examined this week, simulation as an analytic tool can assi ...
Walden University Simulation for Performance Improvement Discussion
Discussion: Simulation for Performance Improvement
As you have examined this week, simulation as an analytic tool can assist healthcare administration leaders execute important improvement initiatives. Simulations can be used to determine the impact of hospital outbreaks, shortages in staff, potential disaster events, or even financial challenges that might impact healthcare delivery for a health services organization. As a current or future healthcare administration leader, the ability to use simulation as an analytic technique will help you execute sound decision making to tackle healthcare administration challenges.
For this Discussion, review the resources for this week, and consider those issues that might most affect healthcare administration practice. Consider how those issues might be addressed through the process of using simulation as an analytic technique, and reflect on how you might apply the process of simulation to address these issues.
By Day 3
Post an explanation of how simulation might be used to improve performance in your health services organization or one with which you are familiar. Be specific, and provide examples.
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